Abstract
Today, an important problem in molecular biology is the study of gene expression mechanism. The first step in determining differential gene expression is the binding of sequence specific transcription factors to regulatory regions of the genes. An important aspect to understand how a given transcription factor functions is to know the entire gamut of binding sites and potential target genes that the factor may regulate. In this paper, we presented an improved prediction method based on hidden Markov model (HMM) called BSS-HMM3s (binding site search based on third-order HMMs) for transcription factor binding sites. The results show that the predicted sensitivity and specificity of BSS-HMM3s increased 11.95 and 12.97%, respectively, compared with Match™.
Acknowledgements
This work is supported by the National High-Tech Research and Development program of China (Grant No. 2002AA234021).